60 citations · 103 across the 12 of their papers we have counts for
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cs.LG2018★ 1 cited
Median Binary-Connect Method and a Binary Convolutional Neural Nework for Word Recognition
Spencer Sheen, Jiancheng Lyu
We propose and study a new projection formula for training binary weight convolutional neural networks. The projection formula measures the error in approximating a full precision…
cs.LG2018★ 12 cited
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks
Penghang Yin, Shuai Zhang, Jiancheng Lyu +3
Quantized deep neural networks (QDNNs) are attractive due to their much lower memory storage and faster inference speed than their regular full precision counterparts. To maintain…
cs.CV2018★ 9 cited
BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights
Penghang Yin, Shuai Zhang, Jiancheng Lyu +3
We propose BinaryRelax, a simple two-phase algorithm, for training deep neural networks with quantized weights. The set constraint that characterizes the quantization of weights is…